Rhombic Grids for Coherent Plane-Wave Compounding

版本 0.1 (5.3 MB) 作者: mschiffn
Simple MATLAB implementation of the rhombic focusing grid for coherent plane-wave compounding
7.0 次下载
更新时间 2023/1/27

Rhombic Grids for Coherent Plane-Wave Compounding

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Simple MATLAB implementation of the rhombic grid [1] for coherent plane-wave compounding.

CIRS040

⚙️ Getting Started

  1. Clone the repository or download the release to your local hard drive.
git clone https://github.com/mschiffn/rhombic_grids
  1. Add the repository to your MATLAB path using
addpath( genpath( './rhombic_grids' ) )
  1. Run the script example.m

Folder Structure

The repository has the following structure:

.
├── +auxiliary      # auxiliary functions (e.g., dimension and size check)
├── +illustration   # illustration functions (e.g., logarithmic compression)
├── +windows        # classes for various window functions (e.g., boxcar, Hann, Tukey)
├── das_pw.m        # delay-and-sum (DAS) algorithm for arbitrary grids
├── data_RF.mat     # measurement data from tissue phantom
├── example.m       # main script
├── LICENSE         # license file
└── README.md       # this readme

The package +windows contains an exemplary class hierarchy to manage various types of window functions.

Image Formation

The script example.m shows the workflow to reproduce the results in [1].

📓 References

  1. M. F. Schiffner, "Rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging," 2022 IEEE Int. Ultrasonics Symp. (IUS), Venice, Italy, Oct. 2022, pp. 1–4. DOI:10.1109/IUS54386.2022.9958278 arXiv Watch on YouTube

引用格式

mschiffn (2024). Rhombic Grids for Coherent Plane-Wave Compounding (https://github.com/mschiffn/rhombic_grids/releases/tag/0.1), GitHub. 检索来源 .

Schiffner, Martin F. “Rhombic Grids Reduce the Number of Voxels in Fast Pulse-Echo Ultrasound Imaging.” 2022 IEEE International Ultrasonics Symposium (IUS), IEEE, 2022, doi:10.1109/ius54386.2022.9958278.

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版本 已发布 发行说明
0.1

要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库
要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库